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02/01/2023
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training
In this paper, we introduce Jointist, an instrument-aware multi-instrume...
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10/11/2022
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability
In this paper we propose a novel generative approach, DiffRoll, to tackl...
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06/22/2022
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications
In this paper, we introduce Jointist, an instrument-aware multi-instrume...
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04/25/2022
Understanding Audio Features via Trainable Basis Functions
In this paper we explore the possibility of maximizing the information r...
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12/07/2021
Danna-Sep: Unite to separate them all
Deep learning-based music source separation has gained a lot of interest...
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07/11/2021
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data
Most of the current supervised automatic music transcription (AMT) model...
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04/14/2021
Revisiting the Onsets and Frames Model with Additive Attention
Recent advances in automatic music transcription (AMT) have achieved hig...
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10/20/2020
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy
Most of the state-of-the-art automatic music transcription (AMT) models ...
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01/25/2020
The impact of Audio input representations on neural network based music transcription
This paper thoroughly analyses the effect of different input representat...
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01/25/2020
Regression-based music emotion prediction using triplet neural networks
In this paper, we adapt triplet neural networks (TNNs) to a regression t...
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12/27/2019
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks
Converting time domain waveforms to frequency domain spectrograms is typ...
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10/01/2019
